Skip to Main Content

An official website of the United States government

About this Publication
Title
Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region.
Pubmed ID
35438744 (View this publication on the PubMed website)
Digital Object Identifier
Publication
Cancer Epidemiol Biomarkers Prev. 2022 May 4; Volume 31 (Issue 5): Pages 1077-1089
Authors
Jordahl KM , Shcherbina A , Kim AE , Su YR , Lin Y , Wang J , Qu C , Albanes D , Arndt V , Baurley JW , Berndt SI , Bien SA , Bishop DT , Bouras E , Brenner H , Buchanan DD , Budiarto A , Campbell PT , Carreras-Torres R , Casey G , ...show more Cenggoro TW , Chan AT , Conti DV , Dampier CH , Devall MA , Díez-Obrero V , Dimou N , Drew DA , Figueiredo JC , Gallinger S , Giles GG , Gruber SB , Gsur A , Gunter MJ , Hampel H , Harlid S , Harrison TA , Hidaka A , Hoffmeister M , Huyghe JR , Jenkins MA , Joshi AD , Keku TO , Larsson SC , Le Marchand L , Lewinger JP , Li L , Mahesworo B , Moreno V , Morrison JL , Murphy N , Nan H , Nassir R , Newcomb PA , Obón-Santacana M , Ogino S , Ose J , Pai RK , Palmer JR , Papadimitriou N , Pardamean B , Peoples AR , Pharoah PDP , Platz EA , Potter JD , Prentice RL , Rennert G , Ruiz-Narvaez E , Sakoda LC , Scacheri PC , Schmit SL , Schoen RE , Slattery ML , Stern MC , Tangen CM , Thibodeau SN , Thomas DC , Tian Y , Tsilidis KK , Ulrich CM , van Duijnhoven FJB , Van Guelpen B , Visvanathan K , Vodicka P , White E , Wolk A , Woods MO , Wu AH , Zemlianskaia N , Chang-Claude J , Gauderman WJ , Hsu L , Kundaje A , Peters U
Affiliations
  • Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.
  • Department of Genetics, Stanford University, Stanford, California.
  • Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia.
  • Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.
  • Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
  • Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.
...show more
  • Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia.
  • Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
  • Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
  • Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
  • Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.
  • Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria.
  • Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France.
  • Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
  • Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden.
  • Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
  • Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina.
  • Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • University of Hawaii Cancer Center, Honolulu, Hawaii.
  • Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Department of Family Medicine, University of Virginia, Charlottesville, Virginia.
  • Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
  • Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana.
  • Department of Pathology, School of Medicine, Umm Al-Qura'a University, Saudi Arabia.
  • Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Avda Gran Via Barcelona 199-203, 08908L'Hospitalet de Llobregat, Barcelona, Spain.
  • Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
  • Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona.
  • Slone Epidemiology Center at Boston University, Boston, Massachusetts.
  • Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.
  • Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel.
  • Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.
  • Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio.
  • Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
  • Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
  • Department of Internal Medicine, University of Utah, Salt Lake City, Utah.
  • SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
  • Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
  • Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada.
Abstract

BACKGROUND: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer.

METHODS: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models.

RESULTS: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif.

CONCLUSIONS: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region.

IMPACT: The study identifies multifaceted evidence of a possible functional effect for rs1318920.

Related CDAS Studies
Related CDAS Projects